Milestone Scientific Inc (MLSS) Fair Value & Analysis
Healthcare · US · Market cap $32.7M
Fair value as of: Jun 24, 2026
Analysis
Milestone Scientific Inc (MLSS) currently trades at $0.2982, while our model-based Fair Value estimate is $0.1400 — implying the stock looks roughly 53.1% overvalued today. We read business quality at 95/100 (high quality), in the Healthcare sector. Bear case: priced above our estimate, the market already discounts strong expectations. Bull case: above-average quality can justify a premium — the entry price still matters most (evidence: low).
About the company
Milestone Scientific Inc., a biomedical technology company, patents, designs, develops, and commercializes diagnostic and therapeutic injection technologies, and devices for medical and dental use in the United States, China, and internationally. It operates through Dental and Medical segments. The company provides the Wand, a single use disposable handpiece device for dental procedures that require local anesthetic under the CompuDent and STA Single Tooth Anesthesia System names. It also offers CompuFlo, a computer-controlled drug delivery system for the painless delivery of drugs, anesthetics, and other medicaments, as well as for the aspiration of bodily fluids or previously injected substances; and disposable injection handpiece for the tactile control during the injection. In addition, the company provides CompuFlo Epidural, a computer-controlled anesthesia system for use in various medical applications. Further, it offers CompuMed for use in various medical procedures performe…
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How we calculate Fair Value
Each company is valued through a stack of independent intrinsic-value models (DCF variants, residual-income, multiples and more), blended into one family-balanced consensus and weighted by how much trustworthy data backs it. A separate quality layer scores the fundamentals. Every input is real reported data — nothing guessed.
Educational research only · not financial advice · no buy/sell recommendation. Model-based estimates are not certainties; their reliability depends on data quality and assumptions.